% Key papers for Pseudo-label test-time adaptation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2023_robust_22078,
  title = {{Robust Test-Time Adaptation in Dynamic Scenarios}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21315},
}

@inproceedings{cvpr2023_robust_22073,
  title = {{Robust Mean Teacher for Continual and Gradual Test-Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21360},
}

@inproceedings{neurips2021_ttt_61451,
  title = {{TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26356},
}

@inproceedings{iclr2023_towards_32953,
  title = {{Towards Stable Test-time Adaptation in Dynamic Wild World}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12131},
}

@inproceedings{cvpr2023_feature_20980,
  title = {{Feature Alignment and Uniformity for Test Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22105},
}

@inproceedings{cvpr2023_a_20299,
  title = {{A Probabilistic Framework for Lifelong Test-Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21165},
}

@inproceedings{neurips2022_note_64350,
  title = {{NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54853},
}

@inproceedings{neurips2022_test_63810,
  title = {{Test Time Adaptation via Conjugate Pseudo-labels}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54429},
}

@inproceedings{cvpr2024_improved_23765,
  title = {{Improved Self-Training for Test-Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30944},
}

@inproceedings{neurips2023_swapprompt_67430,
  title = {{SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72303},
}

@inproceedings{cvpr2024_tea_24939,
  title = {{TEA: Test-time Energy Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30585},
}

@inproceedings{neurips2023_sotta_66740,
  title = {{SoTTA: Robust Test-Time Adaptation on Noisy Data Streams}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72892},
}

@inproceedings{iclr2023_test_32282,
  title = {{Test-Time Adaptation via Self-Training with Nearest Neighbor Information}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11610},
}

@inproceedings{aaai2025_gradient_9355,
  title = {{Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32244},
}

@inproceedings{cvpr2024_domain_23253,
  title = {{Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30259},
}

@inproceedings{cvpr2024_unified_25136,
  title = {{Unified Entropy Optimization for Open-Set Test-Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30713},
}

@inproceedings{neurips2024_l_71320,
  title = {{L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95927},
}

@inproceedings{cvpr2024_aetta_22680,
  title = {{AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29199},
}

@inproceedings{cvpr2025_everything_26174,
  title = {{Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34843},
}

@inproceedings{iclr2024_entropy_33795,
  title = {{Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19280},
}

@inproceedings{aaai2025_palm_10233,
  title = {{PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34133},
}

@inproceedings{aaai2025_test_10951,
  title = {{Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33179},
}

@inproceedings{icml2024_test_45480,
  title = {{Test-Time Model Adaptation with Only Forward Passes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32971},
}

@inproceedings{neurips2024_persistent_73245,
  title = {{Persistent Test-time Adaptation in Recurring Testing Scenarios}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94192},
}

@inproceedings{neurips2025_backpropagation_79652,
  title = {{Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=rYv42fDKQi},
}

@inproceedings{aaai2025_tta_10919,
  title = {{TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34053},
}

@inproceedings{neurips2025_statistics_78840,
  title = {{Statistics Caching Test-Time Adaptation for Vision-Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=iqsjzVqmWF},
}

@inproceedings{icml2024_evaluation_43521,
  title = {{Evaluation of Test-Time Adaptation Under Computational Time Constraints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34931},
}

@inproceedings{icml2025_test_46373,
  title = {{Test-Time Adaptation with Binary Feedback}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46190},
}

@inproceedings{neurips2025_paid_76268,
  title = {{PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=HWTdOSKK3n},
}

@inproceedings{neurips2025_lifelong_76813,
  title = {{Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=NFvAa2hNzH},
}